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recommendation_system

Implement state-of-art algorithms in the field of recommendation system. These algorithms involve with matrix factorization, deep learning, reinforcement learning, and etc.

recommendationsystem

Book recommender system using collaborative filtering based on Spark

recommender-system-with-tf2.0

Recurrence the recommended papers with Tensorflow2.0

recommender-systems-paper

Paper and notes of Recommender systems.

recommenders

Best Practices on Recommendation Systems

recommendersystem-dataset

This repository contains some datasets that I have collected in Recommender Systems.

recommendersystems

reconet

Tensor Low-rank Reconstruction for Semantic Segmentation

reconfigurable_organisms

A scalable pipeline for designing reconfigurable organisms

recq

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

recsys-for-playlist-continuation

State-of-the-art Papers & Codes on Recommender System for Playlist Continuation (2018~2020)

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

recurrent-transformer

[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

recursive-cascaded-networks

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

referringrelationships

refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

refinedet_chainer

RefineDet Network based on chainer

reflection_summary

算法理论基础知识应知应会

reflectsuppress

MATLAB implementation of the algorithm in the CVPR 2019 paper "Fast Single Image Reflection Suppression via Convex Optimization"

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

refqa

The implementation of the paper "Harvesting and Refining Question-Answer Pairs for Unsupervised QA"

regnet-search-pytorch

Search for RegNet using PyTorch

regretful-agent

PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reid-survey

Deep Learning for Person Re-identification: A Survey and Outlook

reid_for_deepsort

simple reid for deep sort

reid_htl

Code for our paper: "Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning"

reid_tutorial_slides

《深度学习与行人重识别》课程课件

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-1

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.